Our solutions
Seven ways we make your data work, from joining up the feeds to building the software that sits on top of them. Most engagements use three or four of these together.
Integration
Core banking, CRM, billing and third-party feeds joined up, so one number means one thing everywhere in the business. We map what each system actually means by a customer, a product and a date, agree one definition with the people who use it, and build the interfaces that keep the systems in step afterwards.
Data management
Governance, quality and stewardship, so the data your teams use is data they can trust. That means named owners for the things that matter, quality rules that run on every load rather than at audit time, and a catalogue that tells a new analyst what a field means without them having to ask around.
Data warehousing
One modelled store your reporting can rely on, built on SQL Server, Azure Synapse or Redshift, whichever your estate already runs. We model for the questions the business actually asks, keep history where history matters, and leave you with a warehouse your own team can extend rather than one only we understand.
Business Intelligence
Dashboards people actually open. Agreed definitions, dependable refreshes and access rules that survive an audit, plus the unglamorous part most BI work skips: sitting with the people who will use the report until it answers their question in one screen instead of five.
Data engineering
Pipelines that keep the warehouse fed, tested and on schedule. Batch or streaming, orchestrated and monitored, with alerting that tells someone when a load fails instead of letting a stale dashboard quietly tell the executive team the wrong thing on Monday morning.
Software development
Custom applications built around the data rather than bolted on afterwards: capture tools, internal portals, customer-facing apps and the integrations between them. Built by the same team that knows your data model, which is why the numbers in the app match the numbers in the warehouse.
Cloud and SQL Server
Migration and platform engineering on the stack your estate already runs. We move data platforms to AWS or Azure, modernise the SQL Server estates that stay put, and size the result for what you actually query, so the cloud bill is a line item you can explain rather than a surprise.
Ways to work with us
Three ways in. Most clients start with one and move between them as the work changes.
A discovery workshop
A short, fixed piece of work to map the systems, the reports and the definitions that disagree, ending in a plan you can act on with us or without us.
Best when the problem is clear but the way through it is not.
A defined project
An agreed scope, delivered by an IMRSNT team in short steps you can see and test, and supported after go-live by the people who built it.
Best when you know what you need built.
Embedded engineers
IMRSNT engineers working inside your own team, to your priorities, with the rest of IMRSNT behind them. How it works.
Best when you need more hands, not a project.
Platforms we work in
We build in the platform you already run, and only suggest a move when there is a clear reason to.
Data platforms
- SQL Server
- Azure Synapse
- Amazon Redshift
Cloud
- Microsoft Azure
- Amazon Web Services
Where the work runs
- Your own data centre
- Your cloud subscription
- A mix of both
How we work with AI
Our engineers use AI to move faster. A named engineer reviews and signs off everything it helps produce, and your data never goes into public AI tools without your written agreement.
Need engineers, not a project?
We also place IMRSNT data and software engineers inside your own team, at your offices, hybrid or remote, for as long as the work needs them.
Not sure which of these you need?
Most people aren’t. Describe the problem in a paragraph and we’ll tell you which of the seven it actually is, and whether it’s one we should be doing at all.